Call For Papers

The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 41st ACM SIGIR conference, to be held in Ann Arbor, U.S.A, welcomes contributions related to any aspect of information retrieval and access, including theories and foundations, algorithms and applications, and evaluation and analysis. The conference and program chairs invite those working in areas related to IR to submit high-impact original papers for review.

Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.

Submissions of full research papers must be in English, in PDF format, and should not exceed ten (10) pages in the current ACM two-column conference format (including references and figures). Suitable LaTeX and Word templates are available from the ACM Website. Full research papers must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere (including as a short-paper submission for SIGIR 2018). Submissions should not contain any author identification and should be submitted electronically via the conference submission system. Authors are required to take all reasonable steps to preserve the anonymity of their submission. While authors can upload to institutional or other preprint repositories such as arXiv.org before reviewing is complete, we generally discourage this since it places anonymity at risk (which could result in a negative outcome of the reviewing process). Authors should carefully go through ACM’s authorship policy before submitting a paper.

All full papers are to be submitted via EasyChair:
https://easychair.org/conferences/?conf=sigir2018

SIGIR 2018 will also be soliciting submissions for short papers (4 pages), with a deadline of February 26, 2018.

Related Resources

SIGIR 2020
International ACM SIGIR Conference on Research and Development in Information Retrieval